19 assistant-professor-and-human-centered-computing PhD positions at Linköping University
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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application! We are looking for a PhD student in Wireless Communication and Computer Vision. Your work assignments Point clouds (PCs) are sets of three-dimensional (3D) data points and their attributes
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departmental duties, up to a maximum of 20% of full-time. Your qualifications We are searching for someone with a Master’s degree in computer science, media technology, computer engineering, human-computer/robot
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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center located in Norrköping, Sweden, with a PhD program in Analytical Sociology and an international Masters’ program in Computational Social Science. The research strengths of the IAS include the study
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-supervision from Professor Fredrik Tufvesson. The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is
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of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D
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independently and together with other researchers. Responsibilities also include participation in seminars within the project as well as at the Centre for Medical Humanities and Bioethics and at the Department
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part of the research area "Digestion Processes" within the Biogas Solutions Research Center (BSRC) hosted by LiU. The activities of the PhD position will be performed through close collaboration with
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of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data